One 8 Eats
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Pre-Beta · Building with a restaurant design partner

Your restaurant’s command center for what comes next.

One 8 Eats turns scattered restaurant information into an owner-approved record that can support operations today and new output channels over time.

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Planned V1 experience

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One 8 Eats V1 workflow: collect restaurant information, interpret and propose, review and approve, connect restaurant truth, then publish a restaurant website and printed menus. POS connections, digital menu boards, and social content are planned after V1.
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  1. Collect. Bring together restaurant websites, menu photographs and documents, brand assets, food photography, owner conversations, direct entry, and corrections.
  2. Interpret and propose. AI organizes information into structured proposals and highlights missing details and uncertainty.
  3. Review and approve. You review and correct, see the impact, and approve changes before they become restaurant truth.
  4. Connected restaurant truth. One approved source connects brand identity, locations, menus, sections, items, pricing, availability, media, galleries, and events.
  5. Publish in V1. Your restaurant website and print-ready menus use the same approved restaurant information, items, descriptions, prices, and branding.

Planned after V1: POS-oriented outputs and connections, digital menu boards, social content, and additional location- and channel-aware outputs.

A clearer operating model

AI handles ambiguity. Owners control what becomes real.

Mia helps turn restaurant websites, menu images, owner requests, and other unstructured inputs into reviewable proposals. The owner decides what becomes part of the restaurant’s approved record.

AI interprets. Deterministic services protect restaurant truth. Approval stays with the owner.

One 8 Eats owner workspace showing a restaurant menu review
Current owner workspace using fictional restaurant data. Shown to illustrate the review-first operating model.

Build status

Real product foundations, described at their real stage.

Available in pre-Beta

Working foundations

  • Owner workspace
  • Menus, items, and placements
  • Locations and groups
  • Media, gallery, events, and brand identity
  • Photo2Menu review proposals
  • Current server-rendered restaurant website
Implemented and under controlled validation

Controlled validation

  • One restaurant design-partner deployment
  • Selected Mia workflows
  • Onboarding foundations
Planned for V1

First production release

  • Complete owner onboarding
  • Restaurant website composition and publication
  • Print-ready menus from the same approved data
Planned after V1

Additional outputs

  • POS-oriented exports and connections
  • Digital menu boards
  • Social content
  • Additional location- and channel-aware outputs

Product leadership

Built from restaurant realities, not an AI demo.

Vincent Maiello leads the product direction, operating model, and architecture for One 8 Eats. The work combines practical business transformation with a disciplined approach to AI: useful where inputs are ambiguous, bounded where restaurant truth matters.

About the work
PORTFOLIO CASE STUDY

See the decisions behind the product.

The case study follows the problem, architecture, product boundaries, evidence, and changes that shaped the current pre-Beta platform.

Read the case study →

Help shape the next stage of restaurant operations.

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